LiteLLM (BerriAI) at 19,500 stars is the 2026 open source router that lets you call 100+ LLMs via one OpenAI format — proxy routing, fallbacks, cost tracking. From Junagadh I use it as hybrid router: Ollama local 80% → LiteLLM picks cheapest cloud for 20% escalated, auto fallback if API down, saving 75% vs single-frontier.
I route via AI Development + Business Workflow Automation. Curated at /repos. Contact for router replay on your 30-day traffic.
Why LiteLLM in 2026
Yuzec curated: "Unified interface for OpenAI, Anthropic, Gemini, Groq, Bedrock with automatic fallback when API is down." NocoBase trend: LLM tooling lane must handle model sprawl — 100+ models is normal now. LiteLLM is the thin reliable lane vs heavy gateway.
| Need | Without LiteLLM | With LiteLLM |
|---|---|---|
| Fallback | Code per provider, outage = down | Auto switch Claude→Gemini→Groq |
| Cost track | Per-provider dashboards | One proxy log, per 1M cost view |
| Format | Per-provider SDKs | One OpenAI input/output |
from litellm import completion
# same call, any provider
response = completion(model="claude-3-7-sonnet", messages=[...])
response = completion(model="gemini-2.0-flash", messages=[...])
response = completion(model="ollama/llama3", api_base="http://localhost:11434")
My router adds: SLM score >0.7 → local, else LiteLLM cheapest cloud that meets P95 800ms, all logged OTel.
Bottom Line: LiteLLM 19.5K in 2026 is the boring glue that saves 10x — one format, 100+ LLMs, fallback + cost tracking, hybrid with Ollama.
Frequently Asked Questions
Does it handle IndiaAI 65/hr GPUs?
Yes — point LiteLLM to IndiaAI endpoint as OpenAI-compatible base_url.
Fallback really automatic?
Yes — proxy config lists primary + fallbacks + retry. I set Claude→Gemini→Groq, 3 retries.
Cost tracking granular?
Per request, per model, per tenant — logged Postgres, Grafana cost dashboard.
Who routes from Junagadh?
Deepak Bagada — LiteLLM + Ollama hybrid, 90-day JSONL. See Library.